Bragard Elise, Armeli Stephen, Feinn Richard, Cullum Jerry, Litt Mark, Tennen Howard
Alcohol Research Center, University of Connecticut School of Medicine.
Department of Psychology, Fairleigh Dickinson University.
Psychol Addict Behav. 2024 Nov 7. doi: 10.1037/adb0001040.
Egocentric social network analyses show that drinking habits of college students' friends predict personal alcohol consumption. To date, most of this research focused on between-person, cross-sectional, or long-term longitudinal designs to evaluate these effects. This study used intensive longitudinal methods to examine episode-specific effects of social networks (network drinking, network composition) on college students' drinking, comparing within-person and between-person effects on individual episodic drinking, and highlighted social network characteristics that might be targeted for intervention.
College students ( = 1,151, 54% female, = 19.26, 81% White) identified their ego network: five close alters (e.g., friends, family) whom they met frequently. For 30 days using an internet-based diary, participants reported their daily drinking levels, indicated whether they met with each alter the previous night, and reported how many drinks each alter consumed.
Two-part multilevel models were used to examine participant drinking. At the within-person level, when a higher proportion of a participant's ego network drank and when network total drinks were higher than average, the odds that a participant drank were significantly increased, and if they did drink, they consumed more alcoholic drinks than usual. Participants were more likely to drink on days when their network was comprised of more friends and more opposite-gender alters.
Findings provide preliminary evidence that daily network drinking appears to influence drinking patterns and quantities among students. Such information could be used within ecological momentary interventions to prevent harmful drinking patterns such as heavy drinking episodes and incapacitation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
以自我为中心的社交网络分析表明，大学生朋友的饮酒习惯可预测其个人饮酒量。迄今为止，大多数此类研究集中在个体间、横断面或长期纵向设计上，以评估这些影响。本研究采用密集纵向研究方法，考察社交网络（网络饮酒、网络构成）对大学生饮酒的特定事件影响，比较个体内和个体间对个体饮酒事件的影响，并突出可能作为干预目标的社交网络特征。
大学生（N = 1151，54%为女性，M = 19.26，81%为白人）确定其自我网络：他们经常见面的五个亲密关系人（如朋友、家人）。参与者使用基于互联网的日记，连续30天报告其每日饮酒量，表明前一晚是否与每个关系人见面，并报告每个关系人饮用了多少酒。
采用两部分多级模型来考察参与者的饮酒情况。在个体内层面，当参与者自我网络中饮酒的比例较高，且网络饮酒总量高于平均水平时，参与者饮酒的几率显著增加，并且如果他们饮酒，会比平时饮用更多酒精饮料。当参与者的社交网络由更多朋友和更多异性关系人组成时，他们更有可能饮酒。
研究结果提供了初步证据，表明日常网络饮酒似乎会影响学生的饮酒模式和饮酒量。这些信息可用于生态瞬时干预，以预防有害的饮酒模式，如重度饮酒发作和饮酒致 incapacitation（此处原文 incapacitation 未明确含义，可保留英文）。（PsycInfo数据库记录（c）2024美国心理学会，保留所有权利）
